Shopify Store Scraper — Products & Contacts avatar

Shopify Store Scraper — Products & Contacts

Pricing

from $4.00 / 1,000 product scrapeds

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Shopify Store Scraper — Products & Contacts

Shopify Store Scraper — Products & Contacts

Scrape Shopify stores for products, collections, prices, reviews, policies, emails, and business details for ecommerce intelligence.

Pricing

from $4.00 / 1,000 product scrapeds

Rating

0.0

(0)

Developer

Muhammad Afzal

Muhammad Afzal

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

a month ago

Last modified

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Shopify Store Scraper 🛍️ Products, Collections, Reviews & Emails

Free plan limit: Free-plan users can receive up to 5 result records per run. Paid-plan and local/unknown runs retain the Actor's existing limits.

Extract complete product catalogs, collections, customer reviews, merchant contact info, and tech-stack intelligence from any Shopify store — no API key, no login, no browser automation required. Just enter a store domain and get clean, CRM-ready structured JSON.

Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

What It Extracts

🛒 Products (one record per product)

  • Title, handle, brand/vendor, category, tags, description — full product metadata
  • Pricing: current price, original (compare-at) price, min/max variant price, discount percentage
  • Up to 250 variants per product: SKU, barcode, price, availability, inventory quantity, weight, shipping flag, and options (Size, Color, etc.)
  • Images: all image URLs, main image, image count, and alt texts for SEO analysis
  • Reviews summary: aggregate rating, review count, review source, detected review platform
  • Sales estimates: conservative monthly sales derived from review volume
  • Availability flags: available, fully_out_of_stock, requires_shipping
  • Timestamps: published_at, created_at, updated_at + scraped_at and source_url for traceability

📂 Collections (one record per collection)

  • Collection title, handle, description, product count, hero image, and canonical collection URL
  • Useful for understanding store taxonomy and category structure

⭐ Customer Reviews (one record per review)

  • Reviewer name, star rating, review title, full review body, submission date
  • Verified-buyer flag and helpful votes where available
  • Auto-detects review platforms: Judge.me, Yotpo, Loox, Stamped, Okendo, Reviews.io, and JSON-LD
  • Falls back to JSON-LD structured reviews when no widget is detected

📧 Merchant Contact Info (one record per store)

  • Business email and phone number — high-value for B2B lead generation
  • Physical address, store currency, and language
  • Social media links: Facebook, Instagram, Twitter/X, TikTok, YouTube, Pinterest
  • Contact page URL

🏪 Store Intelligence (one record per store)

  • Installed app detection: Klaviyo, Mailchimp, Privy, ReCharge, Smile.io, Gorgias, Hotjar, Google Analytics, Facebook Pixel, TikTok Pixel, and 40+ more
  • Apps grouped by category: Email Marketing, SMS, Reviews, Subscriptions, Loyalty, Analytics, Customer Service, Page Builders, Upsell, Search, etc.
  • Theme metadata: theme name, version, and ID
  • Shop name, currency, language, country, and domain

Input Modes

URL Mode (default) — scrape known stores

Use this when you already know the Shopify stores to scrape:

{
"mode": "url",
"storeUrls": [{ "url": "https://www.allbirds.com" }],
"maxProducts": 100,
"includeReviews": true,
"scrapeCollections": true,
"scrapeContactInfo": true,
"scrapeTechStack": true
}

Discovery Mode — find stores by category first

Use this when you want to discover Shopify stores by niche, then scrape them:

{
"mode": "discovery",
"category": "fashion",
"maxStores": 25,
"maxPages": 3,
"maxProducts": 50
}

Use Cases

  • Competitor price monitoring: track pricing changes, discounts, and sold-out products across rival Shopify stores
  • Dropshipping product research: identify trending products, price points, and inventory levels
  • B2B lead generation: collect merchant emails, phone numbers, and social links for sales outreach — the highest-ROI use case
  • Market research: analyze full product catalogs for pricing, category structures, and brand positioning
  • Review sentiment analysis: extract individual customer reviews for NLP and product-improvement insights
  • Tech-stack prospecting: detect which apps and themes a store uses — perfect for agency sales and app developers
  • Price comparison: aggregate product data from multiple Shopify stores for comparison engines
  • Catalog monitoring: detect new products and stock changes by comparing runs over time

Pricing

This Actor uses pay-per-event pricing. These are the current Apify Store event prices:

EventPrice (USD)When it is charged
product-scraped$0.005Product Scraped — One Shopify product extracted with pricing, variants, images, review signals, and sales estimate fields.
collection-scraped$0.001Collection Scraped — One Shopify collection extracted with title, handle, description, product count, and image.
review-scraped$0.001Review Scraped — One individual customer review extracted with reviewer name, rating, body, date, and verified-buyer flag.
contact-scraped$0.01Contact Info Scraped — Merchant contact info per store: email, phone, address, social links for B2B lead gen.
store-analyzed$0.01Store Intelligence Analyzed — One store tech-stack analysis: detected installed apps, theme metadata, shop info.
apify-actor-start$0.001Actor Start — Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). — Charged once per run.

Apify platform usage for this Actor run is included alongside the event prices above; no separate per-run platform-usage fee is passed to users.

This covers Apify platform usage for this Actor run. Other Apify products or usage outside this Actor run may still follow your account plan.

Output

Each dataset item is a stable, MCP-friendly JSON object discriminated by recordType. Example product record:

{
"recordType": "product",
"store_url": "https://www.allbirds.com",
"product_id": "101",
"title": "Tree Runner",
"brand": "Allbirds",
"current_price": 95,
"discount_percentage": 21,
"available": true,
"variant_count": 12,
"rating": 4.7,
"review_count": 321,
"product_url": "https://www.allbirds.com/products/tree-runner",
"scraped_at": "2026-07-08T12:00:00.000Z"
}

Example contact record:

{
"recordType": "contact",
"store_url": "https://www.allbirds.com",
"merchant_email": "hello@allbirds.com",
"merchant_phone": "+1-800-555-1234",
"social_facebook": "https://facebook.com/allbirds",
"scraped_at": "2026-07-08T12:00:00.000Z"
}

Development

npm install
npm test
npm run build
npm run validate:schema
apify run

Limitations

  • Password-protected stores may return zero products — this is a Shopify storefront setting
  • Review extraction depends on the review widget rendering in the HTML
  • Sales estimates are conservative heuristics, NOT verified revenue data
  • App detection is based on script/CDN signatures — lazily-loaded apps may not be detected